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Sequential Monte Carlo as approximate sampling: bounds, adaptive resampling via \(\infty\)-ESS, and an application to particle Gibbs - MaRDI portal

Sequential Monte Carlo as approximate sampling: bounds, adaptive resampling via \(\infty\)-ESS, and an application to particle Gibbs (Q1715543)

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scientific article; zbMATH DE number 7007218
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English
Sequential Monte Carlo as approximate sampling: bounds, adaptive resampling via \(\infty\)-ESS, and an application to particle Gibbs
scientific article; zbMATH DE number 7007218

    Statements

    Sequential Monte Carlo as approximate sampling: bounds, adaptive resampling via \(\infty\)-ESS, and an application to particle Gibbs (English)
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    28 January 2019
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    adaptive resampling
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    effective sample size
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    geometric ergodicity
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    particle Gibbs
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    sequential Monte Carlo
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    state-space models
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    uniform ergodicity
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